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most citedExploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools

122 citations · 188 across the 20 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.HC2023★ 2 cited

BioSpark: An End-to-End Generative System for Biological-Analogical Inspirations and Ideation

Hyeonsu B. Kang, David Chuan-En Lin, Nikolas Martelaro +3

Nature is often used to inspire solutions for complex engineering problems, but achieving its full potential is challenging due to difficulties in discovering relevant analogies an…

cs.CL2023

"What's important here?": Opportunities and Challenges of Using LLMs in Retrieving Information from Web Interfaces

Faria Huq, Jeffrey P. Bigham, Nikolas Martelaro

Large language models (LLMs) that have been trained on a corpus that includes large amount of code exhibit a remarkable ability to understand HTML code. As web interfaces are prima…

cs.SD2023

What Do I Hear? Generating Sounds for Visuals with ChatGPT

David Chuan-En Lin, Nikolas Martelaro

This short paper introduces a workflow for generating realistic soundscapes for visual media. In contrast to prior work, which primarily focus on matching sounds for on-screen visu…

cs.CY2023

The AI Incident Database as an Educational Tool to Raise Awareness of AI Harms: A Classroom Exploration of Efficacy, Limitations, & Future Improvements

Michael Feffer, Nikolas Martelaro, Hoda Heidari

Prior work has established the importance of integrating AI ethics topics into computer and data sciences curricula. We provide evidence suggesting that one of the critical objecti…

cs.HC2023★ 21 cited

Jigsaw: Supporting Designers to Prototype Multimodal Applications by Chaining AI Foundation Models

David Chuan-En Lin, Nikolas Martelaro

Recent advancements in AI foundation models have made it possible for them to be utilized off-the-shelf for creative tasks, including ideating design concepts or generating visual…

cs.HC2023★ 122 cited

Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools

Frederic Gmeiner, Humphrey Yang, Lining Yao +2

AI-based design tools are proliferating in professional software to assist engineering and industrial designers in complex manufacturing and design tasks. These tools take on more…